{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "f3597ebe",
   "metadata": {},
   "source": [
    "# 导入模块"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "860cbf79",
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from toad.detector import detect\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "pd.set_option(\"display.width\", 10000)\n",
    "pd.set_option(\"display.max_rows\", None)\n",
    "pd.set_option(\"display.max_columns\", None)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f92e215a",
   "metadata": {},
   "source": [
    "# 加载数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a35d5f68",
   "metadata": {},
   "outputs": [],
   "source": [
    "train = pd.read_csv(\"../data/cs-training.csv\", encoding=\"utf-8\")\n",
    "train.rename(columns={\"Unnamed: 0\": \"Id\"}, inplace=True)\n",
    "test = pd.read_csv(\"../data/cs-test.csv\", encoding=\"utf-8\")\n",
    "test.rename(columns={\"Unnamed: 0\": \"Id\"}, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2e3ecf95",
   "metadata": {},
   "source": [
    "# 数据探索"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7c7c432e",
   "metadata": {},
   "source": [
    "## 查看前五行"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "667d6dff",
   "metadata": {},
   "source": [
    "### 训练集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6477e15c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Id</th>\n",
       "      <th>SeriousDlqin2yrs</th>\n",
       "      <th>RevolvingUtilizationOfUnsecuredLines</th>\n",
       "      <th>age</th>\n",
       "      <th>NumberOfTime30-59DaysPastDueNotWorse</th>\n",
       "      <th>DebtRatio</th>\n",
       "      <th>MonthlyIncome</th>\n",
       "      <th>NumberOfOpenCreditLinesAndLoans</th>\n",
       "      <th>NumberOfTimes90DaysLate</th>\n",
       "      <th>NumberRealEstateLoansOrLines</th>\n",
       "      <th>NumberOfTime60-89DaysPastDueNotWorse</th>\n",
       "      <th>NumberOfDependents</th>\n",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
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       "      <td>0.233810</td>\n",
       "      <td>30</td>\n",
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       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
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       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0.907239</td>\n",
       "      <td>49</td>\n",
       "      <td>1</td>\n",
       "      <td>0.024926</td>\n",
       "      <td>63588.0</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Id  SeriousDlqin2yrs  RevolvingUtilizationOfUnsecuredLines  age  NumberOfTime30-59DaysPastDueNotWorse  DebtRatio  MonthlyIncome  NumberOfOpenCreditLinesAndLoans  NumberOfTimes90DaysLate  NumberRealEstateLoansOrLines  NumberOfTime60-89DaysPastDueNotWorse  NumberOfDependents\n",
       "0   1                 1                              0.766127   45                                     2   0.802982         9120.0                               13                        0                             6                                     0                 2.0\n",
       "1   2                 0                              0.957151   40                                     0   0.121876         2600.0                                4                        0                             0                                     0                 1.0\n",
       "2   3                 0                              0.658180   38                                     1   0.085113         3042.0                                2                        1                             0                                     0                 0.0\n",
       "3   4                 0                              0.233810   30                                     0   0.036050         3300.0                                5                        0                             0                                     0                 0.0\n",
       "4   5                 0                              0.907239   49                                     1   0.024926        63588.0                                7                        0                             1                                     0                 0.0"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "524d93b9",
   "metadata": {},
   "source": [
    "### 测试集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "82d7cf41",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Id</th>\n",
       "      <th>SeriousDlqin2yrs</th>\n",
       "      <th>RevolvingUtilizationOfUnsecuredLines</th>\n",
       "      <th>age</th>\n",
       "      <th>NumberOfTime30-59DaysPastDueNotWorse</th>\n",
       "      <th>DebtRatio</th>\n",
       "      <th>MonthlyIncome</th>\n",
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       "      <th>NumberOfTimes90DaysLate</th>\n",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
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       "      <th>3</th>\n",
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       "      <td>0.0</td>\n",
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       "      <td>4</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Id  SeriousDlqin2yrs  RevolvingUtilizationOfUnsecuredLines  age  NumberOfTime30-59DaysPastDueNotWorse  DebtRatio  MonthlyIncome  NumberOfOpenCreditLinesAndLoans  NumberOfTimes90DaysLate  NumberRealEstateLoansOrLines  NumberOfTime60-89DaysPastDueNotWorse  NumberOfDependents\n",
       "0   1               NaN                              0.885519   43                                     0   0.177513         5700.0                                4                        0                             0                                     0                 0.0\n",
       "1   2               NaN                              0.463295   57                                     0   0.527237         9141.0                               15                        0                             4                                     0                 2.0\n",
       "2   3               NaN                              0.043275   59                                     0   0.687648         5083.0                               12                        0                             1                                     0                 2.0\n",
       "3   4               NaN                              0.280308   38                                     1   0.925961         3200.0                                7                        0                             2                                     0                 0.0\n",
       "4   5               NaN                              1.000000   27                                     0   0.019917         3865.0                                4                        0                             0                                     0                 1.0"
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     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a66c4cdd",
   "metadata": {},
   "source": [
    "## 查看数据类型、大小和唯一值"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "67df7937",
   "metadata": {},
   "source": [
    "### 训练集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f097499d",
   "metadata": {},
   "outputs": [
    {
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       "      <td>148500.010000</td>\n",
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       "      <th>SeriousDlqin2yrs</th>\n",
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       "      <td>150000</td>\n",
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       "      <td>0.981278</td>\n",
       "      <td>1.092956</td>\n",
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       "    <tr>\n",
       "      <th>age</th>\n",
       "      <td>int64</td>\n",
       "      <td>150000</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>86</td>\n",
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       "      <td>14.771866</td>\n",
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       "      <td>24.00</td>\n",
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       "      <td>52.000000</td>\n",
       "      <td>63.000000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>87.000000</td>\n",
       "      <td>109.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NumberOfTime30-59DaysPastDueNotWorse</th>\n",
       "      <td>int64</td>\n",
       "      <td>150000</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>16</td>\n",
       "      <td>0.421033</td>\n",
       "      <td>4.192781</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>98.0</td>\n",
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       "    <tr>\n",
       "      <th>DebtRatio</th>\n",
       "      <td>float64</td>\n",
       "      <td>150000</td>\n",
       "      <td>0.00%</td>\n",
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       "      <td>2037.818523</td>\n",
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       "      <td>0.00</td>\n",
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       "      <td>0.366508</td>\n",
       "      <td>0.868254</td>\n",
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       "      <td>4979.040000</td>\n",
       "      <td>329664.0</td>\n",
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       "    <tr>\n",
       "      <th>MonthlyIncome</th>\n",
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       "      <td>150000</td>\n",
       "      <td>19.82%</td>\n",
       "      <td>13594</td>\n",
       "      <td>6670.221237</td>\n",
       "      <td>14384.674215</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2005.000000</td>\n",
       "      <td>5400.000000</td>\n",
       "      <td>8249.000000</td>\n",
       "      <td>11666.000000</td>\n",
       "      <td>25000.000000</td>\n",
       "      <td>3008750.0</td>\n",
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       "      <td>5.145951</td>\n",
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       "      <td>8.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>58.0</td>\n",
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       "    <tr>\n",
       "      <th>NumberOfTimes90DaysLate</th>\n",
       "      <td>int64</td>\n",
       "      <td>150000</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>19</td>\n",
       "      <td>0.265973</td>\n",
       "      <td>4.169304</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>98.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NumberRealEstateLoansOrLines</th>\n",
       "      <td>int64</td>\n",
       "      <td>150000</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>28</td>\n",
       "      <td>1.018240</td>\n",
       "      <td>1.129771</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>54.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NumberOfTime60-89DaysPastDueNotWorse</th>\n",
       "      <td>int64</td>\n",
       "      <td>150000</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>13</td>\n",
       "      <td>0.240387</td>\n",
       "      <td>4.155179</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>98.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NumberOfDependents</th>\n",
       "      <td>float64</td>\n",
       "      <td>150000</td>\n",
       "      <td>2.62%</td>\n",
       "      <td>13</td>\n",
       "      <td>0.757222</td>\n",
       "      <td>1.115086</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         type    size missing  unique  mean_or_top1   std_or_top2  min_or_top3  1%_or_top4   10%_or_top5  50%_or_bottom5  75%_or_bottom4  90%_or_bottom3  99%_or_bottom2  max_or_bottom1\n",
       "Id                                      int64  150000   0.00%  150000  75000.500000  43301.414527          1.0     1500.99  15000.900000    75000.500000   112500.250000   135000.100000   148500.010000        150000.0\n",
       "SeriousDlqin2yrs                        int64  150000   0.00%       2      0.066840      0.249746          0.0        0.00      0.000000        0.000000        0.000000        0.000000        1.000000             1.0\n",
       "RevolvingUtilizationOfUnsecuredLines  float64  150000   0.00%  125728      6.048438    249.755371          0.0        0.00      0.002969        0.154181        0.559046        0.981278        1.092956         50708.0\n",
       "age                                     int64  150000   0.00%      86     52.295207     14.771866          0.0       24.00     33.000000       52.000000       63.000000       72.000000       87.000000           109.0\n",
       "NumberOfTime30-59DaysPastDueNotWorse    int64  150000   0.00%      16      0.421033      4.192781          0.0        0.00      0.000000        0.000000        0.000000        1.000000        4.000000            98.0\n",
       "DebtRatio                             float64  150000   0.00%  114194    353.005076   2037.818523          0.0        0.00      0.030874        0.366508        0.868254     1267.000000     4979.040000        329664.0\n",
       "MonthlyIncome                         float64  150000  19.82%   13594   6670.221237  14384.674215          0.0        0.00   2005.000000     5400.000000     8249.000000    11666.000000    25000.000000       3008750.0\n",
       "NumberOfOpenCreditLinesAndLoans         int64  150000   0.00%      58      8.452760      5.145951          0.0        0.00      3.000000        8.000000       11.000000       15.000000       24.000000            58.0\n",
       "NumberOfTimes90DaysLate                 int64  150000   0.00%      19      0.265973      4.169304          0.0        0.00      0.000000        0.000000        0.000000        0.000000        3.000000            98.0\n",
       "NumberRealEstateLoansOrLines            int64  150000   0.00%      28      1.018240      1.129771          0.0        0.00      0.000000        1.000000        2.000000        2.000000        4.000000            54.0\n",
       "NumberOfTime60-89DaysPastDueNotWorse    int64  150000   0.00%      13      0.240387      4.155179          0.0        0.00      0.000000        0.000000        0.000000        0.000000        2.000000            98.0\n",
       "NumberOfDependents                    float64  150000   2.62%      13      0.757222      1.115086          0.0        0.00      0.000000        0.000000        1.000000        2.000000        4.000000            20.0"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "detect(train)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2421208e",
   "metadata": {},
   "source": [
    "### 测试集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e67168db",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>type</th>\n",
       "      <th>size</th>\n",
       "      <th>missing</th>\n",
       "      <th>unique</th>\n",
       "      <th>mean_or_top1</th>\n",
       "      <th>std_or_top2</th>\n",
       "      <th>min_or_top3</th>\n",
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       "  </thead>\n",
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       "      <th>Id</th>\n",
       "      <td>int64</td>\n",
       "      <td>101503</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>101503</td>\n",
       "      <td>50752.000000</td>\n",
       "      <td>29301.536524</td>\n",
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       "      <td>100487.98000</td>\n",
       "      <td>101503.0</td>\n",
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       "    <tr>\n",
       "      <th>SeriousDlqin2yrs</th>\n",
       "      <td>float64</td>\n",
       "      <td>101503</td>\n",
       "      <td>100.00%</td>\n",
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       "      <th>RevolvingUtilizationOfUnsecuredLines</th>\n",
       "      <td>float64</td>\n",
       "      <td>101503</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>85716</td>\n",
       "      <td>5.310000</td>\n",
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       "      <td>0.152586</td>\n",
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       "      <td>0.983342</td>\n",
       "      <td>1.08869</td>\n",
       "      <td>21821.0</td>\n",
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       "      <th>age</th>\n",
       "      <td>int64</td>\n",
       "      <td>101503</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>82</td>\n",
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       "      <td>52.000000</td>\n",
       "      <td>63.000000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>87.00000</td>\n",
       "      <td>104.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NumberOfTime30-59DaysPastDueNotWorse</th>\n",
       "      <td>int64</td>\n",
       "      <td>101503</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>16</td>\n",
       "      <td>0.453770</td>\n",
       "      <td>4.538487</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>1.000000</td>\n",
       "      <td>4.00000</td>\n",
       "      <td>98.0</td>\n",
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       "    <tr>\n",
       "      <th>DebtRatio</th>\n",
       "      <td>float64</td>\n",
       "      <td>101503</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>79878</td>\n",
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       "      <td>1632.595231</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.030058</td>\n",
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       "      <td>1238.800000</td>\n",
       "      <td>4963.00000</td>\n",
       "      <td>268326.0</td>\n",
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       "    <tr>\n",
       "      <th>MonthlyIncome</th>\n",
       "      <td>float64</td>\n",
       "      <td>101503</td>\n",
       "      <td>19.81%</td>\n",
       "      <td>11976</td>\n",
       "      <td>6855.035590</td>\n",
       "      <td>36508.600375</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2083.000000</td>\n",
       "      <td>5400.000000</td>\n",
       "      <td>8200.000000</td>\n",
       "      <td>11500.000000</td>\n",
       "      <td>25916.01000</td>\n",
       "      <td>7727000.0</td>\n",
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       "    <tr>\n",
       "      <th>NumberOfOpenCreditLinesAndLoans</th>\n",
       "      <td>int64</td>\n",
       "      <td>101503</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>56</td>\n",
       "      <td>8.453514</td>\n",
       "      <td>5.144100</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>15.000000</td>\n",
       "      <td>25.00000</td>\n",
       "      <td>85.0</td>\n",
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       "    <tr>\n",
       "      <th>NumberOfTimes90DaysLate</th>\n",
       "      <td>int64</td>\n",
       "      <td>101503</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>18</td>\n",
       "      <td>0.296691</td>\n",
       "      <td>4.515859</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.00000</td>\n",
       "      <td>98.0</td>\n",
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       "    <tr>\n",
       "      <th>NumberRealEstateLoansOrLines</th>\n",
       "      <td>int64</td>\n",
       "      <td>101503</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>24</td>\n",
       "      <td>1.013074</td>\n",
       "      <td>1.110253</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>4.00000</td>\n",
       "      <td>37.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NumberOfTime60-89DaysPastDueNotWorse</th>\n",
       "      <td>int64</td>\n",
       "      <td>101503</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>12</td>\n",
       "      <td>0.270317</td>\n",
       "      <td>4.503578</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.00000</td>\n",
       "      <td>98.0</td>\n",
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       "    <tr>\n",
       "      <th>NumberOfDependents</th>\n",
       "      <td>float64</td>\n",
       "      <td>101503</td>\n",
       "      <td>2.59%</td>\n",
       "      <td>13</td>\n",
       "      <td>0.769046</td>\n",
       "      <td>1.136778</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>4.00000</td>\n",
       "      <td>43.0</td>\n",
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      ],
      "text/plain": [
       "                                         type    size  missing  unique  mean_or_top1   std_or_top2  min_or_top3  1%_or_top4   10%_or_top5  50%_or_bottom5  75%_or_bottom4  90%_or_bottom3  99%_or_bottom2  max_or_bottom1\n",
       "Id                                      int64  101503    0.00%  101503  50752.000000  29301.536524          1.0     1016.02  10151.200000    50752.000000    76127.500000    91352.800000    100487.98000        101503.0\n",
       "SeriousDlqin2yrs                      float64  101503  100.00%       0           NaN           NaN          NaN         NaN           NaN             NaN             NaN             NaN             NaN             NaN\n",
       "RevolvingUtilizationOfUnsecuredLines  float64  101503    0.00%   85716      5.310000    196.156039          0.0        0.00      0.003008        0.152586        0.564225        0.983342         1.08869         21821.0\n",
       "age                                     int64  101503    0.00%      82     52.405436     14.779756         21.0       24.00     33.000000       52.000000       63.000000       72.000000        87.00000           104.0\n",
       "NumberOfTime30-59DaysPastDueNotWorse    int64  101503    0.00%      16      0.453770      4.538487          0.0        0.00      0.000000        0.000000        0.000000        1.000000         4.00000            98.0\n",
       "DebtRatio                             float64  101503    0.00%   79878    344.475020   1632.595231          0.0        0.00      0.030058        0.364260        0.851619     1238.800000      4963.00000        268326.0\n",
       "MonthlyIncome                         float64  101503   19.81%   11976   6855.035590  36508.600375          0.0        0.00   2083.000000     5400.000000     8200.000000    11500.000000     25916.01000       7727000.0\n",
       "NumberOfOpenCreditLinesAndLoans         int64  101503    0.00%      56      8.453514      5.144100          0.0        0.00      3.000000        8.000000       11.000000       15.000000        25.00000            85.0\n",
       "NumberOfTimes90DaysLate                 int64  101503    0.00%      18      0.296691      4.515859          0.0        0.00      0.000000        0.000000        0.000000        0.000000         3.00000            98.0\n",
       "NumberRealEstateLoansOrLines            int64  101503    0.00%      24      1.013074      1.110253          0.0        0.00      0.000000        1.000000        2.000000        2.000000         4.00000            37.0\n",
       "NumberOfTime60-89DaysPastDueNotWorse    int64  101503    0.00%      12      0.270317      4.503578          0.0        0.00      0.000000        0.000000        0.000000        0.000000         2.00000            98.0\n",
       "NumberOfDependents                    float64  101503    2.59%      13      0.769046      1.136778          0.0        0.00      0.000000        0.000000        1.000000        2.000000         4.00000            43.0"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "detect(test)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b2e78dbf",
   "metadata": {},
   "source": [
    "## 数据形状"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cd136a2d",
   "metadata": {},
   "source": [
    "### 训练集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d30c56d1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(150000, 12)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "213220ca",
   "metadata": {},
   "source": [
    "### 测试集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "dfb1f9b2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(101503, 12)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f5a272d0",
   "metadata": {},
   "source": [
    "## 描述性统计"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "24aaf093",
   "metadata": {},
   "source": [
    "### 训练集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "101fe3ef",
   "metadata": {},
   "outputs": [
    {
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       "      <td>6.048438</td>\n",
       "      <td>52.295207</td>\n",
       "      <td>0.421033</td>\n",
       "      <td>353.005076</td>\n",
       "      <td>6.670221e+03</td>\n",
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       "      <td>0.265973</td>\n",
       "      <td>1.018240</td>\n",
       "      <td>0.240387</td>\n",
       "      <td>0.757222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>43301.414527</td>\n",
       "      <td>0.249746</td>\n",
       "      <td>249.755371</td>\n",
       "      <td>14.771866</td>\n",
       "      <td>4.192781</td>\n",
       "      <td>2037.818523</td>\n",
       "      <td>1.438467e+04</td>\n",
       "      <td>5.145951</td>\n",
       "      <td>4.169304</td>\n",
       "      <td>1.129771</td>\n",
       "      <td>4.155179</td>\n",
       "      <td>1.115086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>37500.750000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.029867</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.175074</td>\n",
       "      <td>3.400000e+03</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>75000.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.154181</td>\n",
       "      <td>52.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.366508</td>\n",
       "      <td>5.400000e+03</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>112500.250000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.559046</td>\n",
       "      <td>63.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.868254</td>\n",
       "      <td>8.249000e+03</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>150000.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>50708.000000</td>\n",
       "      <td>109.000000</td>\n",
       "      <td>98.000000</td>\n",
       "      <td>329664.000000</td>\n",
       "      <td>3.008750e+06</td>\n",
       "      <td>58.000000</td>\n",
       "      <td>98.000000</td>\n",
       "      <td>54.000000</td>\n",
       "      <td>98.000000</td>\n",
       "      <td>20.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Id  SeriousDlqin2yrs  RevolvingUtilizationOfUnsecuredLines            age  NumberOfTime30-59DaysPastDueNotWorse      DebtRatio  MonthlyIncome  NumberOfOpenCreditLinesAndLoans  NumberOfTimes90DaysLate  NumberRealEstateLoansOrLines  NumberOfTime60-89DaysPastDueNotWorse  NumberOfDependents\n",
       "count  150000.000000     150000.000000                         150000.000000  150000.000000                         150000.000000  150000.000000   1.202690e+05                    150000.000000            150000.000000                 150000.000000                         150000.000000       146076.000000\n",
       "mean    75000.500000          0.066840                              6.048438      52.295207                              0.421033     353.005076   6.670221e+03                         8.452760                 0.265973                      1.018240                              0.240387            0.757222\n",
       "std     43301.414527          0.249746                            249.755371      14.771866                              4.192781    2037.818523   1.438467e+04                         5.145951                 4.169304                      1.129771                              4.155179            1.115086\n",
       "min         1.000000          0.000000                              0.000000       0.000000                              0.000000       0.000000   0.000000e+00                         0.000000                 0.000000                      0.000000                              0.000000            0.000000\n",
       "25%     37500.750000          0.000000                              0.029867      41.000000                              0.000000       0.175074   3.400000e+03                         5.000000                 0.000000                      0.000000                              0.000000            0.000000\n",
       "50%     75000.500000          0.000000                              0.154181      52.000000                              0.000000       0.366508   5.400000e+03                         8.000000                 0.000000                      1.000000                              0.000000            0.000000\n",
       "75%    112500.250000          0.000000                              0.559046      63.000000                              0.000000       0.868254   8.249000e+03                        11.000000                 0.000000                      2.000000                              0.000000            1.000000\n",
       "max    150000.000000          1.000000                          50708.000000     109.000000                             98.000000  329664.000000   3.008750e+06                        58.000000                98.000000                     54.000000                             98.000000           20.000000"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51d257cc",
   "metadata": {},
   "source": [
    "### 测试集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "069ff3b2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Id</th>\n",
       "      <th>SeriousDlqin2yrs</th>\n",
       "      <th>RevolvingUtilizationOfUnsecuredLines</th>\n",
       "      <th>age</th>\n",
       "      <th>NumberOfTime30-59DaysPastDueNotWorse</th>\n",
       "      <th>DebtRatio</th>\n",
       "      <th>MonthlyIncome</th>\n",
       "      <th>NumberOfOpenCreditLinesAndLoans</th>\n",
       "      <th>NumberOfTimes90DaysLate</th>\n",
       "      <th>NumberRealEstateLoansOrLines</th>\n",
       "      <th>NumberOfTime60-89DaysPastDueNotWorse</th>\n",
       "      <th>NumberOfDependents</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>101503.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>101503.000000</td>\n",
       "      <td>101503.000000</td>\n",
       "      <td>101503.000000</td>\n",
       "      <td>101503.000000</td>\n",
       "      <td>8.140000e+04</td>\n",
       "      <td>101503.000000</td>\n",
       "      <td>101503.000000</td>\n",
       "      <td>101503.000000</td>\n",
       "      <td>101503.000000</td>\n",
       "      <td>98877.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>50752.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.310000</td>\n",
       "      <td>52.405436</td>\n",
       "      <td>0.453770</td>\n",
       "      <td>344.475020</td>\n",
       "      <td>6.855036e+03</td>\n",
       "      <td>8.453514</td>\n",
       "      <td>0.296691</td>\n",
       "      <td>1.013074</td>\n",
       "      <td>0.270317</td>\n",
       "      <td>0.769046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>29301.536524</td>\n",
       "      <td>NaN</td>\n",
       "      <td>196.156039</td>\n",
       "      <td>14.779756</td>\n",
       "      <td>4.538487</td>\n",
       "      <td>1632.595231</td>\n",
       "      <td>3.650860e+04</td>\n",
       "      <td>5.144100</td>\n",
       "      <td>4.515859</td>\n",
       "      <td>1.110253</td>\n",
       "      <td>4.503578</td>\n",
       "      <td>1.136778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>25376.500000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.030131</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.173423</td>\n",
       "      <td>3.408000e+03</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>50752.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.152586</td>\n",
       "      <td>52.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.364260</td>\n",
       "      <td>5.400000e+03</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>76127.500000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.564225</td>\n",
       "      <td>63.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.851619</td>\n",
       "      <td>8.200000e+03</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>101503.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21821.000000</td>\n",
       "      <td>104.000000</td>\n",
       "      <td>98.000000</td>\n",
       "      <td>268326.000000</td>\n",
       "      <td>7.727000e+06</td>\n",
       "      <td>85.000000</td>\n",
       "      <td>98.000000</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>98.000000</td>\n",
       "      <td>43.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Id  SeriousDlqin2yrs  RevolvingUtilizationOfUnsecuredLines            age  NumberOfTime30-59DaysPastDueNotWorse      DebtRatio  MonthlyIncome  NumberOfOpenCreditLinesAndLoans  NumberOfTimes90DaysLate  NumberRealEstateLoansOrLines  NumberOfTime60-89DaysPastDueNotWorse  NumberOfDependents\n",
       "count  101503.000000               0.0                         101503.000000  101503.000000                         101503.000000  101503.000000   8.140000e+04                    101503.000000            101503.000000                 101503.000000                         101503.000000        98877.000000\n",
       "mean    50752.000000               NaN                              5.310000      52.405436                              0.453770     344.475020   6.855036e+03                         8.453514                 0.296691                      1.013074                              0.270317            0.769046\n",
       "std     29301.536524               NaN                            196.156039      14.779756                              4.538487    1632.595231   3.650860e+04                         5.144100                 4.515859                      1.110253                              4.503578            1.136778\n",
       "min         1.000000               NaN                              0.000000      21.000000                              0.000000       0.000000   0.000000e+00                         0.000000                 0.000000                      0.000000                              0.000000            0.000000\n",
       "25%     25376.500000               NaN                              0.030131      41.000000                              0.000000       0.173423   3.408000e+03                         5.000000                 0.000000                      0.000000                              0.000000            0.000000\n",
       "50%     50752.000000               NaN                              0.152586      52.000000                              0.000000       0.364260   5.400000e+03                         8.000000                 0.000000                      1.000000                              0.000000            0.000000\n",
       "75%     76127.500000               NaN                              0.564225      63.000000                              0.000000       0.851619   8.200000e+03                        11.000000                 0.000000                      2.000000                              0.000000            1.000000\n",
       "max    101503.000000               NaN                          21821.000000     104.000000                             98.000000  268326.000000   7.727000e+06                        85.000000                98.000000                     37.000000                             98.000000           43.000000"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a5342926",
   "metadata": {},
   "source": [
    "## 相关性分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "3392b4e7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1152 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 16))\n",
    "plt.yticks(rotation=45)\n",
    "heat = sns.heatmap(train.iloc[:, 2:].corr(), vmax=.8, square=True, annot=True)\n",
    "xtict = heat.set_yticklabels(heat.get_yticklabels(), rotation = 45, fontsize = 10)\n",
    "ttick = heat.set_xticklabels(heat.get_xticklabels(), rotation = 45, fontsize = 10)\n",
    "plt.savefig(r\"D:\\liangkaimeng\\picture\\user_credit_score\\heatmap.jpg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0f34d8d0",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {
    "height": "calc(100% - 180px)",
    "left": "10px",
    "top": "150px",
    "width": "307.2px"
   },
   "toc_section_display": true,
   "toc_window_display": true
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
